A novel approach to modelling and exploiting uncertainty in stochastic control systems

Herzallah, Randa and Lowe, David (2002). A novel approach to modelling and exploiting uncertainty in stochastic control systems. IN: Artificial neural networks — ICANN 2002. Dorronsoro, José R. (ed.) Lecture notes in computer science . Berlin (DE): Springer.

Abstract

We consider an inversion-based neurocontroller for solving control problems of uncertain nonlinear systems. Classical approaches do not use uncertainty information in the neural network models. In this paper we show how we can exploit knowledge of this uncertainty to our advantage by developing a novel robust inverse control method. Simulations on a nonlinear uncertain second order system illustrate the approach.

Publication DOI: https://doi.org/10.1007/3-540-46084-5_130
Divisions: Engineering & Applied Sciences > Mathematics
Engineering & Applied Sciences > Systems analytics research institute (SARI)
Event Title: Artificial Neural Networks 2002
Event Type: Other
Event Dates: 2002-08-28 - 2002-08-30
Uncontrolled Keywords: neurocontroller,nonlinear systems,neural network models,inverse control method,Simulations,Computer Science(all),Theoretical Computer Science
Full Text Link: http://www.spri ... d4wjgt2w4jk45v/
Related URLs: http://www.scop ... tnerID=8YFLogxK (Scopus URL)
Published Date: 2002-01-01
Authors: Herzallah, Randa ( 0000-0001-9128-6814)
Lowe, David

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